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get_glossario

Retrieves the full definition of a philosophy glossary term using its URL slug, with support for Portuguese, English, and Spanish.

Instructions

Get the full definition of a glossary term by its slug.

Args: slug: URL slug of the term (e.g. 'eudaimonia', 'imperativo-categorico') lang: Language code — 'pt', 'en', or 'es' (default: 'pt')

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYes
langNopt

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description bears the full burden. It states it 'gets' a definition, implying a read-only operation, but does not explicitly disclose lack of side effects, rate limits, or what 'full definition' includes. It is minimally adequate for a simple retrieval tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short, front-loaded, and structured bullet-style for arguments. Each sentence serves a purpose, with no wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple retrieval tool with an output schema (not shown but indicated), the input description is complete. The description covers the required parameters and their formats. It does not need to explain return values because the output schema handles that.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0% description coverage, but the description compensates by explaining 'slug' as a URL slug with examples and 'lang' as a language code with options and a default. This adds meaning beyond the schema property types.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Get the full definition of a glossary term by its slug' and provides examples, which is specific about the verb and resource. It differentiates from siblings like listar_glossario (lists terms) and search_glossario (searches terms).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied by the name and description (fetch a single term by slug), but no explicit guidance on when to use this vs alternatives (e.g., listar_glossario for listing all terms). No when-not or exclusion conditions are stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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